diff --git a/single_shot_inference.py b/single_shot_inference.py
index ecac4465..453fc083 100644
--- a/single_shot_inference.py
+++ b/single_shot_inference.py
@@ -428,7 +428,7 @@ def forward_layer(X_l, w, li, cfg, rope_cos, rope_sin,
 
     # -- mHC pre_block (attention) --
     x_in, attn_ctx = attn_mhc.pre_block(X_l)  # x_in: (T, H)
-    if li < 3 or li >= 58:
+    if False:  # diag disabled
         A_l = None
         B_l, C_l = attn_ctx
         print(f"  L{li} pre_attn: |X_l|={X_l.abs().max().item():.2f} |x_in|={x_in.abs().max().item():.2f}", flush=True)
@@ -513,7 +513,7 @@ def forward_layer(X_l, w, li, cfg, rope_cos, rope_sin,
     # -- mHC post_block (attention) --
     X_mid = attn_mhc.post_block(X_l, F_attn, attn_ctx)  # (T, n_hc, H)
     # Diagnostic: check mHC is stabilizing the residual
-    if li < 3 or li >= 58:
+    if False:  # Disable diagnostics for production run
         B_l, C_l = attn_ctx
         print(f"  L{li} attn: |X_l|={X_l.abs().max().item():.2f} |F_attn|={F_attn.abs().max().item():.2f} |B|={B_l.abs().max().item():.4f} |C|={C_l.abs().max().item():.4f} |X_mid|={X_mid.abs().max().item():.2f}", flush=True)
 
@@ -532,7 +532,7 @@ def forward_layer(X_l, w, li, cfg, rope_cos, rope_sin,
 
     # -- mHC post_block (FFN) --
     X_next = ffn_mhc.post_block(X_mid, F_ffn, ffn_ctx)  # (T, n_hc, H)
-    if li < 3 or li >= 58:
+    if False:  # diag disabled
         B_l_ffn, C_l_ffn = ffn_ctx
         print(f"  L{li} ffn: |X_mid|={X_mid.abs().max().item():.2f} |F_ffn|={F_ffn.abs().max().item():.2f} |B|={B_l_ffn.abs().max().item():.4f} |C|={C_l_ffn.abs().max().item():.4f} |X_next|={X_next.abs().max().item():.2f}", flush=True)